Infra DevOps Engineer

Overview:

• We're looking for a hands-on, mid-level Infrastructure Engineer focused primarily on infrastructure management — automating operations with Python and scripting, operating our container platform, maintaining delivery pipelines, and supporting the databases and services the wider team depends on.
• You'll work alongside senior engineers, owning well-scoped areas and growing into broader responsibility.

**Key Responsibilities

• Automation & tooling — Write and maintain Python and shell tooling to automate provisioning, operations, monitoring, and day-to-day platform tasks.
• Container orchestration — Deploy, monitor, and troubleshoot workloads on a container-orchestration platform, including packaging apps and managing environment config.
• CI/CD pipelines — Build and maintain automated build, test, and deploy pipelines; help teams ship changes safely and repeatably.
• Build & runner infrastructure — Support the self-hosted build/runner fleet and container image registry the pipelines rely on.
• Data services & secrets — Assist with database deployments, upgrades, scaling, and backups; manage credentials through a centralized secrets store (no hardcoded credentials).
• Observability & releases — Operate monitoring and dashboards, respond to alerts, and support multi-stage data/application releases.
• Cloud provisioning — Provision and maintain cloud compute, storage and secrets across dev, stage, and production.

Required Skills & Experience

• 2–4 years in a DevOps, infrastructure, platform, or SRE role.
• Strong Python and shell scripting for automation and tooling — a core, day-to-day part of this role.
• Hands-on experience with a major public cloud provider, container technologies, and a container-orchestration platform.
• Experience building and maintaining CI/CD pipelines.
• Comfortable working in Linux environments.
• Solid Git fundamentals and working knowledge of secrets management.
• Methodical troubleshooting and a documentation-friendly approach.

Nice to Have

• Exposure to Azure and Google Cloud Platform (GCP).
• Operating databases (relational, graph, search, or analytical) in production.
• Observability tooling, supply-chain security practices, or data-intensive / ML workloads.
• Interest in the life-sciences / biomedical domain.**